perform cyclic check for hue in test_rgb2hsv (#2477)

* perform cyclic check for hue in test_rgb2hsv

Test fails for cases when hue=0 and hue=360. As hue is cyclic in nature, add cyclic logic for checking the max difference by taking the sin of the tensor and then comparing the max values.

* address linter issues

Author: KushajveerSingh

test/test_functional_tensor.py

@@ -1,6 +1,7 @@
 import unittest
 import random
 import colorsys
+import math
 
 from PIL import Image
 from PIL.Image import NEAREST, BILINEAR, BICUBIC
@@ -114,7 +115,13 @@ def test_rgb2hsv(self):
 
             colorsys_img = torch.tensor(hsv, dtype=torch.float32)
 
-            max_diff = (colorsys_img - ft_hsv_img).abs().max()
+            ft_hsv_img_h, ft_hsv_img_sv = torch.split(ft_hsv_img, [1, 2], dim=1)
+            colorsys_img_h, colorsys_img_sv = torch.split(colorsys_img, [1, 2], dim=1)
+
+            max_diff_h = ((colorsys_img_h * 2 * math.pi).sin() - (ft_hsv_img_h * 2 * math.pi).sin()).abs().max()
+            max_diff_sv = (colorsys_img_sv - ft_hsv_img_sv).abs().max()
+            max_diff = max(max_diff_h, max_diff_sv)
+
             self.assertLess(max_diff, 1e-5)
 
     def test_adjustments(self):